Surgeon | Android strings translation helper | Internationalization library

by MiguelCatalan Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Surgeon Summary

Surgeon is a Python library typically used in Utilities, Internationalization applications. Surgeon has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Surgeon build file is not available. You can download it from GitHub.

For the Android developers that love to split the strings files, will have to suffer when they have to add translations. It is hard to know if there is a new string searching in each file for each translation and mobile network. Surgeon it is a simple script that finds all the string files, merges them and compares each translation to find the differences. Finally generates a new file with the missing translations in each language.

Support

Quality

Security

License

Reuse

Support

Surgeon has a low active ecosystem.

It has 12 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Surgeon has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Surgeon is current.

Quality

Surgeon has no bugs reported.

Security

Surgeon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Surgeon is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Surgeon releases are not available. You will need to build from source code and install.

Surgeon has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Surgeon and discovered the below as its top functions. This is intended to give you an instant insight into Surgeon implemented functionality, and help decide if they suit your requirements.

Get the differences between two files .
Merge string files .
Format XML elements .
Remove empty lines .
Return a list of all directories
Save content to file .
Create xml content .
Remove file .

Get all kandi verified functions for this library.

Surgeon Key Features

No Key Features are available at this moment for Surgeon.

Surgeon Examples and Code Snippets

No Code Snippets are available at this moment for Surgeon.

Community Discussions

Trending Discussions on Surgeon

How do I make a query shorter and neater?

How do I narrow "sex" of a Senior Nurse and Nurse as only ("F") Female?

How do I include certain conditions in SQL Count

Splitting Macbeth When a Character Speaks

setup a dataframe to measure tumour volumes

Eliminating csv file rows if specific string is not present

How to print random CSV text entry that meets a specific criteria?

How can we keep the edit box by default empty, which displays the result of the spinner?

How can I have both receptionist name and doctors name in the same Query output?

Remove multiple rows with same ID

QUESTION

How do I make a query shorter and neater?

Asked 2021-Jun-06 at 18:53

Im trying to make This query more understandable and neater. But im not sure how to?

...

ANSWER

Answered 2021-Jun-05 at 07:24

Any decent formatter would do it for you.

Other than that,

JOIN instead of comma-separate tables in the FROM clause
remove p.person_id from group by clause, there's no use of it as it is
- equal to a.patient_id which is correctly put into the clause,
- not part of the select statement's column list

So:

Source https://stackoverflow.com/questions/67847125

QUESTION

How do I narrow "sex" of a Senior Nurse and Nurse as only ("F") Female?

Asked 2021-Jun-05 at 10:03

I am supposed to List the first name and surname of every staff member who is neither a surgeon nor a male nurse and group the list by town and sort each town by age in descending order.

...

ANSWER

Answered 2021-Jun-05 at 09:23

Something like this?

Source https://stackoverflow.com/questions/67848073

QUESTION

How do I include certain conditions in SQL Count

Asked 2021-Jun-03 at 16:53

`CREATE TABLE PERSON
(
  Person_id      NUMBER(3) PRIMARY KEY,
  Surname        VARCHAR2(20),
  First_name     VARCHAR2(20),
  Sex            CHAR(1),
  Birth_date     DATE,
  Street         VARCHAR2(40),
  Town           CHAR(20),
  Postcode       NUMBER(4),
  Next_of_kin    NUMBER(3)
 );
CREATE TABLE STAFF
(
  Person_id     NUMBER(3) PRIMARY KEY,
  Start_date    DATE,
  Staff_type    VARCHAR2(15),
  Charges       NUMBER(10,2),
  Resign_date   DATE,
  FOREIGN KEY (Person_id) references PERSON(Person_id)
  );
CREATE TABLE WARD (
   Ward_code         CHAR(3) PRIMARY KEY,
   Ward_name         VARCHAR2(20),
   Bed_count         NUMBER(4),
   Opened_date       DATE,
   Last_painted_date DATE,
   Daily_charge      NUMBER(10,2)
);
CREATE TABLE OPERATION_TYPE (
   Op_code         CHAR(3) PRIMARY KEY,
   Operation_name  VARCHAR2(50),
   Theatre_fee     NUMBER(10,2),
   Days_in         NUMBER(5)
);
CREATE TABLE ADMISSION (
   Admission_id    NUMBER(3) PRIMARY KEY,
   Patient_id      NUMBER(3),
   Admission_date  DATE NOT NULL,
   Expected_op     CHAR(3),
   Admitted_by     NUMBER(3),
   Ward_code       CHAR(3),
   Discharge_date  DATE,
FOREIGN KEY (Patient_id) references PERSON(Person_id),
FOREIGN KEY (Expected_op) references OPERATION_TYPE(Op_code),
FOREIGN KEY (Admitted_by) references PERSON(Person_id),
FOREIGN KEY (Ward_code) references WARD(Ward_code)
);
CREATE TABLE OPERATION (
   Operation_id     NUMBER(3) PRIMARY KEY,
   Actual_op        CHAR(3),
   Admission_id     NUMBER(3),
   Op_date          DATE,
   Surgeon          NUMBER(3),
   Anaesthetist     NUMBER(3),
FOREIGN KEY (Surgeon) references PERSON(Person_id),
FOREIGN KEY (Anaesthetist) references PERSON(Person_id),
FOREIGN KEY (Actual_op) references OPERATION_TYPE(Op_code),
FOREIGN KEY (Admission_id) references ADMISSION(Admission_id)
);
CREATE TABLE OBSERVATION(
   Admission_id  NUMBER(3),
   Observ_date   DATE,
   Observ_time   NUMBER(4),
   Observ_type   CHAR(10),
   Observ_value  NUMBER(4),
   Staff_id      NUMBER(3),
PRIMARY KEY (Admission_id,Observ_date,Observ_time,Observ_type),
FOREIGN KEY (Admission_id) references ADMISSION(Admission_id),
FOREIGN KEY (Staff_id) references STAFF(Person_id)
);
REM***********************
REM  PERSON TABLE
REM***********************
INSERT INTO PERSON VALUES (101,'Black','Barry','M','31/12/1959','11 High St.','Cooma',2630,102);
INSERT INTO PERSON VALUES (102,'Black','Mary','F','11/04/1965','11 High St.','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (103,'Strathclyde','Albert','M','15/5/1955','3 The Mews','Hawthorne',3171,104);
INSERT INTO PERSON VALUES (104,'Strathclyde','Alice','F','17/7/1955','3 The Mews','Hawthorne',3171,103);
INSERT INTO PERSON VALUES (105,'Green','Gill','F','16/6/1966','124 Main St.','Young',2594,106);
INSERT INTO PERSON VALUES (106,'Green','Graham','M','24/4/1967','124 Main St.','Young',2594,105);
INSERT INTO PERSON VALUES (107,'Gray','Lesley','F','12/9/1972','130 Main St.','Young',2594,109);
INSERT INTO PERSON VALUES (109,'Gray','John','M','14/4/1972','130 Main St.','Young',2594,107);
INSERT INTO PERSON VALUES (110,'Samuelson','Thomas','M','1/1/1964','17 The Mews','Hawthorne',3171,NULL);
INSERT INTO PERSON VALUES (111,'Abrahams','Mary','F','15/5/1967','2177A The Esplanade','Ivanhoe',3878,NULL);
INSERT INTO PERSON VALUES (112,'Aumann','Monica','F','25/5/1955','29 The Esplanade','Ivanhoe',3878,NULL);
INSERT INTO PERSON VALUES (113,'Brown','Melissa','F','8/8/1984','11 East St.','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (114,'Napier','Mary','F','1/1/1971','163 New Rd.','Henty',2658,NULL);
INSERT INTO PERSON VALUES (115,'Nelson','Nigel','M','2/2/1972','165 Young Rd.','Temora',2666,NULL);
INSERT INTO PERSON VALUES (116,'Newman','Olive','F','3/3/1973','21 Olympic Way','Henty',2658,NULL);
INSERT INTO PERSON VALUES (117,'Gray','Lesley','M','31/12/1989','130 Andres St.','Young',2594,105);
INSERT INTO PERSON VALUES (118,'Hon','Tasuku','M','13/3/1953','21 Silcon Height','Henty',2658,NULL);
INSERT INTO PERSON VALUES (119,'Livingstone','Frank','M','3/3/2003','21 Sun Height','Henty',2658,122);
INSERT INTO PERSON VALUES (120,'Giggle','Frank','M','23/3/1975','21 Albrige Close','Cooma',2630,121);
INSERT INTO PERSON VALUES (121,'Giggle','Felicia','F','3/3/1980','21 Albrige Close','Cooma',2630,120);
INSERT INTO PERSON VALUES (122,'Black','Frank Jr','M','13/3/2011','21 Stun Height','Henty',2658,123);
INSERT INTO PERSON VALUES (123,'Black','Frances','F','12/12/2005','21 Stun Height','Henty',2658,122);
INSERT INTO PERSON VALUES (124,'Smith','Buddy','M','11/12/1979','101 High St.','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (125,'Smith','Maxime','F','31/12/1979','101 High St.','Cooma',2630,124);
INSERT INTO PERSON VALUES (126,'Smith','Issac','M','1/12/2007','101 High St.','Cooma',2630,124);
INSERT INTO PERSON VALUES (127,'Smith','Ronny','M','3/12/2009','101 High St.','Cooma',2630,124);
INSERT INTO PERSON VALUES (128,'Giggle','Fanny','F','3/12/2007','121 Close Rose','Hillo',2330,120);
INSERT INTO PERSON VALUES (129,'Murad','Nadia','F','3/3/2000','121 Close Rose', 'Hillo',2330,130);
INSERT INTO PERSON VALUES (130,'Murad','Tange','M','3/3/1999','7711 Albrige Close','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (131,'Rome','Paula','F','23/9/1965','21 Height Close','Cooma',2630,132);
INSERT INTO PERSON VALUES (132,'Rome','Paul','M','13/3/1966','21 Height Close','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (133,'Rome','Fay','M','3/3/2017','21 Height Close','Cooma',2630,132);
INSERT INTO PERSON VALUES (134,'Murad','Michelle','F','3/3/2001','1 Height Close','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (135,'Trump','Donald','M','13/3/1956','222 White House Avenue','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (136,'Trump','Melania','F','3/3/1992','222 White House Avenue','Cooma',2630,135);
INSERT INTO PERSON VALUES (137,'Trump','Baron','M','3/6/2005','222 White House Avenue','Cooma',2630,135);
INSERT INTO PERSON VALUES (138,'Johnson','Boris','M','23/9/1965','10 Downing Street','Wagga Wagga',2999,NULL);
INSERT INTO PERSON VALUES (139,'Cordeiro','Wayne','M','3/3/1965','777 Hawaii Close Rose', 'Hillo',7770, NULL);
INSERT INTO PERSON VALUES (140,'Cordeiro','Anne','F','23/4/1968','777 Hawaii Close Rose', 'Hillo',7770, 139);
INSERT INTO PERSON VALUES (141,'Thatcher','Margaret','F','21/1/1955','120 Main Sq.','Wagga Wagga',2999,142);
INSERT INTO PERSON VALUES (142,'Thatcher','Denis','M','23/9/1955','120 Main Sq.','Wagga Wagga',2999,NULL);
INSERT INTO PERSON VALUES (143,'Thatcher','Carols','F','1/9/1985','120 Main Sq.','Wagga Wagga',2999,142);
INSERT INTO PERSON VALUES (144,'Nelson','Nigel','M','22/2/1992','15 Young Rd.','Temora',2666,NULL);
INSERT INTO PERSON VALUES (145,'Neon','Gela','F','2/2/1972','1465 Main Rd.','Temora',2666,NULL);
INSERT INTO PERSON VALUES (146,'Twain','Shane','F','21/1/1995','A-129 Main Rose Sq.','Wagga Wagga',2650,147);
INSERT INTO PERSON VALUES (147,'Twain','Dens','M','23/9/1985','A-129 Main Rose Sq.','Wagga Wagga',2650,NULL);
INSERT INTO PERSON VALUES (148,'Trump','Ivanka','F','5/3/1985','222 White House Avenue','Cooma',2630,135);
INSERT INTO PERSON VALUES (149,'Trump','Eric','M','3/12/1975','222 White House Avenue','Cooma',2630,135);
INSERT INTO PERSON VALUES (150,'Gates','Bill','M','5/3/1975','2 Rosey Lane','Cooma',2630,NULL);
INSERT INTO PERSON VALUES (151,'Bucket','Eric','M','3/1/1985','11 Oserey Avenue','Cooma',2630,NULL);

REM*******************************************************
REM STAFF TABLE
REM nursing services will not be charged to the patients
REM*******************************************************
INSERT INTO STAFF VALUES (103,'1/1/2009','Surgeon',4525,NULL);
INSERT INTO STAFF VALUES (110,'5/5/2009','Surgeon',5600,NULL);
INSERT INTO STAFF VALUES (118,'1/5/2016','Surgeon',7890,NULL);
INSERT INTO STAFF VALUES (111,'1/1/2009','Anaesthetist',5900,NULL);
INSERT INTO STAFF VALUES (112,'3/3/2009','Anaesthetist',4788,NULL);
INSERT INTO STAFF VALUES (114,'1/1/2009','Senior Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (115,'2/2/2016','Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (116,'3/3/2014','Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (125,'23/3/2014','Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (135,'1/1/2019','Senior Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (136,'2/2/2016','Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (138,'23/3/2019','Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (139,'23/3/2020','Senior Nurse',NULL,NULL);
INSERT INTO STAFF VALUES (150,'1/11/2019','Anaesthetist',6900,NULL);
INSERT INTO STAFF VALUES (151,'31/1/2019','Anaesthetist',5900,NULL);

REM***********************
REM  WARD TABLE
REM***********************
INSERT INTO WARD VALUES ('C','Covid Bay',90,'31/12/2019',NULL,150.00);
INSERT INTO WARD VALUES ('A','Abraham',80,'1/12/2015','12/05/2011',350.00);
INSERT INTO WARD VALUES ('N','Nightingale',50,'1/12/2017','12/05/2012',450.00);
INSERT INTO WARD VALUES ('F','Flemming',75,'15/11/2009',NULL,230.00);
INSERT INTO WARD VALUES ('L','Lister',80,'1/1/2009','20/12/2013',200.00);
INSERT INTO WARD VALUES ('P','Pasteur',60,'1/12/2009','12/12/2011',250.00);


REM***********************
REM  OPERATION_TYPE TABLE
REM***********************
INSERT INTO OPERATION_TYPE VALUES ('LO','Lobotomy',700.00,10);
INSERT INTO OPERATION_TYPE VALUES ('CS','Caesarean',5700.00,3);
INSERT INTO OPERATION_TYPE VALUES ('CT','Cataract',670.00,1);
INSERT INTO OPERATION_TYPE VALUES ('AP','Appendicectomy',500.00,5);
INSERT INTO OPERATION_TYPE VALUES ('HB','Heart Bypass',2000.00,14);
INSERT INTO OPERATION_TYPE VALUES ('HT','Heart Transplant',5000.00,30);
INSERT INTO OPERATION_TYPE VALUES ('HY','Hysterectomy',800.00,7);
INSERT INTO OPERATION_TYPE VALUES ('LA','Leg Amputation',1500.00,10);
INSERT INTO OPERATION_TYPE VALUES ('TS','Tonsillectomy',700.00,7);
INSERT INTO OPERATION_TYPE VALUES ('LP','Laparoscopy',500.00,1);
INSERT INTO OPERATION_TYPE VALUES ('AR','Arthroscopy ',700.00,17);


REM***********************
REM  ADMISSION TABLE
REM***********************
INSERT INTO ADMISSION VALUES (205,101,'2/2/2011','HB',114,'P','21/2/2011');
INSERT INTO ADMISSION VALUES (275,101,'1/9/2010','HY',115,'L','1/11/2010');
INSERT INTO ADMISSION VALUES (286,101,'3/5/2016','AR',116,'A','3/7/2016');
INSERT INTO ADMISSION VALUES (303,101,'3/4/2018','LA',125,'F', '13/5/2018');
INSERT INTO ADMISSION VALUES (298,103,'23/1/2016','TS',114,'L','24/04/2016');
INSERT INTO ADMISSION VALUES (299,103,'23/3/2018','AP',114,'L','23/4/2018');
INSERT INTO ADMISSION VALUES (305,103,'23/4/2018','HT',125,'F','29/5/2018');
INSERT INTO ADMISSION VALUES (321,103,'13/8/2018','AR',125,'F', '23/10/2018');
INSERT INTO ADMISSION VALUES (283,105,'3/12/2015','AR',116,'A','5/12/2015');
INSERT INTO ADMISSION VALUES (278,105,'1/1/2011','HB',115,'P','30/1/2011');
INSERT INTO ADMISSION VALUES (307,105,'3/4/2018','TS',125,'F', '13/5/2018');
INSERT INTO ADMISSION VALUES (276,106,'24/8/2010','LA',114,'P','15/9/2010');
INSERT INTO ADMISSION VALUES (287,106,'3/5/2016','TS',114,'A','3/6/2016');
INSERT INTO ADMISSION VALUES (274,109,'1/9/2019','AP',114,'P','9/9/2019');
INSERT INTO ADMISSION VALUES (288,109,'23/5/2016','LO',114,'F','3/07/2016');
INSERT INTO ADMISSION VALUES (301,112,'13/4/2018','AP',125,'F','16/4/2018');
INSERT INTO ADMISSION VALUES (304,112,'23/4/2019','LO',114,'L','23/5/2019');
INSERT INTO ADMISSION VALUES (279,113,'3/9/2010','TS',115,'F','10/9/2010');
INSERT INTO ADMISSION VALUES (284,113,'3/12/2015','HY',116,'A','03/01/2016');
INSERT INTO ADMISSION VALUES (285,113,'3/5/2016','HT',116,'A','3/6/2016');
INSERT INTO ADMISSION VALUES (300,113,'23/4/2018','AR',114,'L','25/6/2018');
INSERT INTO ADMISSION VALUES (306,113,'13/8/2018','AP',125,'L', '13/9/2018');
INSERT INTO ADMISSION VALUES (277,114,'20/9/2010','AP',115,'P','30/9/2010');
INSERT INTO ADMISSION VALUES (289,115,'11/4/2016','LO',114,'L','3/6/2016');
INSERT INTO ADMISSION VALUES (290,115,'5/7/2016','TS',114,'L','3/09/2016');
INSERT INTO ADMISSION VALUES (308,115,'23/3/2018','AR',114,'L','25/3/2018');
INSERT INTO ADMISSION VALUES (280,117,'13/9/2010','AP',115,'F','25/9/2010');
INSERT INTO ADMISSION VALUES (281,117,'3/9/2014','HB',116,'A','21/9/2014');
INSERT INTO ADMISSION VALUES (282,117,'3/12/2015','LA',116,'A','14/12/2015');
INSERT INTO ADMISSION VALUES (309,126,'23/3/2018','TS',125,'L', '13/5/2018');
INSERT INTO ADMISSION VALUES (310,127,'13/5/2018','AP',125,'L', '28/5/2018');
INSERT INTO ADMISSION VALUES (311,124,'3/5/2018','LO',125,'A', '23/5/2018');
INSERT INTO ADMISSION VALUES (312,127,'21/6/2019','LO',125,'L','22/8/2019');
INSERT INTO ADMISSION VALUES (313,124,'22/6/2019','AP',125,'A','22/7/2019');
INSERT INTO ADMISSION VALUES (314,109,'21/6/2019','LO',125,'L','22/7/2019');
INSERT INTO ADMISSION VALUES (315,126,'12/6/2019','AP',125,'A','22/9/2019');
INSERT INTO ADMISSION VALUES (316,114,'22/7/2019','HB',125,'A','12/12/2019');
INSERT INTO ADMISSION VALUES (318,128,'3/5/2019','LA',116,'A','4/6/2019');
INSERT INTO ADMISSION VALUES (319,129,'23/3/2019','TS',125,'L', '13/4/2019');
INSERT INTO ADMISSION VALUES (320,130,'3/5/2019','LA',116,'F','4/6/2019');
INSERT INTO ADMISSION VALUES (328,119,'3/3/2019','TS',115,'N', '3/4/2019');
INSERT INTO ADMISSION VALUES (322,132,'3/5/2019','LA',116,'A','4/6/2019');
INSERT INTO ADMISSION VALUES (323,133,'23/3/2019','TS',125,'L', '13/4/2019');
INSERT INTO ADMISSION VALUES (324,131,'3/5/2018','LA',116,'F','4/5/2018');
INSERT INTO ADMISSION VALUES (325,118,'3/6/2019','TS',115,'P', '3/7/2019');
INSERT INTO ADMISSION VALUES (326,102,'3/5/2018','LA',116,'F','4/5/2018');
INSERT INTO ADMISSION VALUES (327,104,'3/6/2019','TS',115,'P', '3/7/2019');
INSERT INTO ADMISSION VALUES (339,107,'3/6/2019','TS',115,'P', '3/7/2019');
INSERT INTO ADMISSION VALUES (329,110,'3/6/2019','TS',115,'P', '3/7/2019');
INSERT INTO ADMISSION VALUES (330,111,'3/6/2019','TS',115,'P', '3/7/2019');
INSERT INTO ADMISSION VALUES (331,116,'3/6/2019','TS',115,'P', '3/7/2019');
INSERT INTO ADMISSION VALUES (332,121,'21/6/2019','TS',125,'L','22/7/2019');
INSERT INTO ADMISSION VALUES (333,123,'22/7/2019','AP',125,'A','22/9/2019');
INSERT INTO ADMISSION VALUES (334,134,'21/8/2019','AP',115,'L','22/12/2019');
INSERT INTO ADMISSION VALUES (335,128,'12/8/2020','AP',115,'A',NULL);
INSERT INTO ADMISSION VALUES (336,125,'22/7/2020','HB',115,'A',NULL);
INSERT INTO ADMISSION VALUES (337,120,'21/8/2020','AP',116,'L',NULL);
INSERT INTO ADMISSION VALUES (338,130,'22/7/2020','AP',125,'N',NULL);
INSERT INTO ADMISSION VALUES (340,131,'22/8/2020','AP',125,'N',NULL);
INSERT INTO ADMISSION VALUES (341,122,'22/8/2020','AP',125,'N',NULL);
INSERT INTO ADMISSION VALUES (490,139,'11/8/2020','AP',125,'F',NULL);
INSERT INTO ADMISSION VALUES (491,140,'7/9/2020','AP',138,'F',NULL);
 

REM***********************
REM  OPERATION TABLE
REM***********************
INSERT INTO OPERATION VALUES (317,'HB',205,'4/2/2011',110,111);
INSERT INTO OPERATION VALUES (355,'LA',276,'25/8/2010',103,111);
INSERT INTO OPERATION VALUES (363,'AP',276,'3/9/2010',103,111);
INSERT INTO OPERATION VALUES (360,'AP',277,'22/9/2010',103,111);
INSERT INTO OPERATION VALUES (361,'AP',274,'2/9/2010',103,111);
INSERT INTO OPERATION VALUES (362,'HT',275,'3/9/2010',110,112);
INSERT INTO OPERATION VALUES (364,'AP',279,'3/9/2010',103,111);
INSERT INTO OPERATION VALUES (365,'AP',280,'6/9/2010',103,111);
INSERT INTO OPERATION VALUES (366,'HB',281,'6/9/2014',103,111);
INSERT INTO OPERATION VALUES (367,'HY',284,'6/12/2015',103,111);
INSERT INTO OPERATION VALUES (368,'LO',285,'6/5/2016',118,112);
INSERT INTO OPERATION VALUES (369,'AP',286,'6/5/2016',118,112);
INSERT INTO OPERATION VALUES (370,'TS',287,'7/5/2016',118,112);
INSERT INTO OPERATION VALUES (371,'LA',288,'26/5/2016',110,111); 
INSERT INTO OPERATION VALUES (372,'LO',289,'16/4/2016',110,111);
INSERT INTO OPERATION VALUES (373,'TS',290,'6/5/2016',110,111);
INSERT INTO OPERATION VALUES (381,'TS',298,'26/2/2016',110,111);
INSERT INTO OPERATION VALUES (382,'AP',299,'26/3/2018',110,111);
INSERT INTO OPERATION VALUES (383,'TS',300,'26/5/2018',110,111);
INSERT INTO OPERATION VALUES (384,'TS',309,'16/4/2018',110,111);
INSERT INTO OPERATION VALUES (385,'LO',309,'26/3/2018',110,111);
INSERT INTO OPERATION VALUES (386,'AP',310,'18/5/2018',110,111);
INSERT INTO OPERATION VALUES (387,'AP',311,'4/5/2018',110,111);
INSERT INTO OPERATION VALUES (388,'LO',311,'11/5/2018',110,111);
INSERT INTO OPERATION VALUES (389,'AP',315,'13/6/2019',118,111);
INSERT INTO OPERATION VALUES (390,'HB',316,'23/7/2019',118,111);
INSERT INTO OPERATION VALUES (391,'LO',312,'22/6/2019',118,111);
INSERT INTO OPERATION VALUES (392,'HT',341,'28/8/2019',118,112);
INSERT INTO OPERATION VALUES (393,'HT',340,'27/8/2019',118,112);
INSERT INTO OPERATION VALUES (394,'LO',491,'26/4/2020',103,112);


REM***********************
REM  OBSERVATION TABLE
REM***********************
INSERT INTO OBSERVATION VALUES (205,'2/2/2011',1500,'Temp',38,114);
INSERT INTO OBSERVATION VALUES (274,'4/9/2010',0601,'Temp',39,116);
INSERT INTO OBSERVATION VALUES (275,'1/9/2010',1400,'Pulse',64,115);
INSERT INTO OBSERVATION VALUES (275,'1/9/2010',1400,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (275,'3/9/2010',1800,'Temp',40,116);
INSERT INTO OBSERVATION VALUES (275,'3/9/2010',2200,'Temp',40,116);
INSERT INTO OBSERVATION VALUES (275,'4/9/2010',0610,'Pulse',82,116);
INSERT INTO OBSERVATION VALUES (275,'4/9/2010',0610,'Temp',38,116);
INSERT INTO OBSERVATION VALUES (277,'24/9/2010',0600,'Temp',39,115);
INSERT INTO OBSERVATION VALUES (284,'5/12/2015',0600,'Temp',39,115);
INSERT INTO OBSERVATION VALUES (284,'5/12/2015',0600,'Pulse',89,115);
INSERT INTO OBSERVATION VALUES (284,'6/12/2015',0600,'Temp',37,115);
INSERT INTO OBSERVATION VALUES (284,'6/12/2015',0600,'Pulse',87,115);
INSERT INTO OBSERVATION VALUES (285,'7/5/2016',0600,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (285,'8/5/2016',0600,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (285,'8/5/2016',0600,'Pulse',82,115);
INSERT INTO OBSERVATION VALUES (285,'9/5/2016',0600,'Temp',37,115);
INSERT INTO OBSERVATION VALUES (286,'7/5/2016',0600,'Temp',39,125);
INSERT INTO OBSERVATION VALUES (286,'8/5/2016',0600,'Temp',33,125);
INSERT INTO OBSERVATION VALUES (286,'8/5/2016',0600,'Pulse',86,125);
INSERT INTO OBSERVATION VALUES (286,'9/5/2016',0600,'Temp',36,125);
INSERT INTO OBSERVATION VALUES (287,'7/5/2016',0600,'Temp',35,115);
INSERT INTO OBSERVATION VALUES (287,'8/5/2016',0600,'Temp',37,115);
INSERT INTO OBSERVATION VALUES (287,'8/5/2016',0600,'Pulse',82,125);
INSERT INTO OBSERVATION VALUES (287,'9/5/2016',0600,'Temp',37,125);
INSERT INTO OBSERVATION VALUES (289,'19/5/2016',0600,'Temp',39,115);
INSERT INTO OBSERVATION VALUES (289,'20/5/2016',1400,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (289,'22/5/2016',0800,'Temp',37,115);
INSERT INTO OBSERVATION VALUES (289,'26/5/2016',0700,'Temp',37,115);
INSERT INTO OBSERVATION VALUES (289,'29/5/2016',0700,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (300,'23/4/2018',1400,'Pulse',74,115);
INSERT INTO OBSERVATION VALUES (300,'23/4/2018',1400,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (300,'23/4/2018',1800,'Temp',30,116);
INSERT INTO OBSERVATION VALUES (300,'23/4/2018',2200,'Temp',40,116);
INSERT INTO OBSERVATION VALUES (300,'24/4/2018',0610,'Pulse',82,116);
INSERT INTO OBSERVATION VALUES (300,'24/4/2018',0610,'Temp',38,116);
INSERT INTO OBSERVATION VALUES (303,'13/4/2018',1400,'Pulse',64,125);
INSERT INTO OBSERVATION VALUES (303,'13/4/2018',1400,'Temp',38,125);
INSERT INTO OBSERVATION VALUES (303,'13/4/2018',1800,'Temp',30,125);
INSERT INTO OBSERVATION VALUES (303,'23/4/2018',2200,'Temp',40,116);
INSERT INTO OBSERVATION VALUES (303,'23/4/2018',0610,'Pulse',82,116);
INSERT INTO OBSERVATION VALUES (303,'23/4/2018',0610,'Temp',38,116);
INSERT INTO OBSERVATION VALUES (311,'3/5/2018',1400,'Pulse',54,115);
INSERT INTO OBSERVATION VALUES (311,'4/5/2018',1400,'Temp',38,115);
INSERT INTO OBSERVATION VALUES (311,'3/5/2018',1800,'Temp',40,116);
INSERT INTO OBSERVATION VALUES (311,'4/5/2018',2200,'Temp',41,116);
INSERT INTO OBSERVATION VALUES (311,'4/5/2018',1800,'Temp',39,116);
INSERT INTO OBSERVATION VALUES (311,'5/5/2018',0610,'Pulse',72,116);
INSERT INTO OBSERVATION VALUES (311,'5/5/2018',0610,'Temp',38,116);
INSERT INTO OBSERVATION VALUES (310,'13/5/2018',1400,'Pulse',84,125);
INSERT INTO OBSERVATION VALUES (310,'13/5/2018',1400,'Temp',28,125);
INSERT INTO OBSERVATION VALUES (310,'14/5/2018',1800,'Temp',60,125);
INSERT INTO OBSERVATION VALUES (310,'15/5/2018',2200,'Temp',40,116);
INSERT INTO OBSERVATION VALUES (310,'16/5/2018',0610,'Pulse',92,116);
INSERT INTO OBSERVATION VALUES (310,'16/5/2018',0610,'Temp',35,116);
INSERT INTO OBSERVATION VALUES (341,'22/8/2019',0610,'Temp',39,116);
INSERT INTO OBSERVATION VALUES (340,'25/8/2019',0610,'Temp',39,116);
INSERT INTO OBSERVATION VALUES (340,'25/8/2019',0610,'Pulse',75,116);
INSERT INTO OBSERVATION VALUES (340,'26/8/2019',0610,'Temp',37,116);
INSERT INTO OBSERVATION VALUES (340,'26/8/2019',0610,'Pulse',70,116);
INSERT INTO OBSERVATION VALUES (340,'27/8/2019',0610,'Pulse',68,116);
INSERT INTO OBSERVATION VALUES (340,'27/8/2019',0610,'Temp',37,116);
INSERT INTO OBSERVATION VALUES (340,'29/8/2019',0610,'Pulse',73,116);
INSERT INTO OBSERVATION VALUES (490,'17/4/2020',0600,'Temp',38,125);
INSERT INTO OBSERVATION VALUES (490,'18/4/2020',0600,'Temp',37,125);
INSERT INTO OBSERVATION VALUES (490,'19/4/2020',0600,'Temp',38,125);

...

ANSWER

Answered 2021-Jun-03 at 16:53

I'm assuming you don't really need a cross join of 'person' with 'person'. So I'm dropping that logic from the sources.

I don't have and Oracle instance to work with, but I believe the code below, which uses a case statement to achieve your conditional need, should work for you:

Source https://stackoverflow.com/questions/67825320

QUESTION

Splitting Macbeth When a Character Speaks

Asked 2021-May-15 at 00:27

After sending a get request to Project Gutenberg I have the play Macbeth in its entirety as a string

...

ANSWER

Answered 2021-May-14 at 15:53

Following my comment above

You might have an easier time of it if you split into lines first, and then split into words, because I expect the abbreviated character names will always be at the start of a line? Also, I notice the line is indented a couple spaces when a new character starts speaking. That could be another thing to look for.

Split into lines:

Source https://stackoverflow.com/questions/67536083

QUESTION

setup a dataframe to measure tumour volumes

Asked 2021-May-14 at 02:42

I need to measure tumour volumes before and after a treatment. I want to construct the recording of the volumes by date efficiently and then analyse the tumour doubling time (the time the tumour takes to double in volume) using Pandas or similar. I am a surgeon and treat acoustic neuromas with Gamma Knife radiosurgery.The tumours typically grow at 1 to 2 mm each year in diameter. They are usually followed up with MRI scans until they show growth (in the UK) and are treated and are then followed up by MRI scans for 10 years at least.

I'm sure the data collection is relatively simple but want to optimise it for efficiency afterwards. I was thinking of just using Excel and then importing the CSV into Pandas. The spreadsheet needs to be simple because it will be on a network drive within the hospital accessible from any PC for a number of people to do the volumetric assessment. This is done by drawing around the tumour on individual slices of the MRI scan and then getting the MRI scan to compute the volume of the regions of interest.

I am fairly novice at Python and Pandas. The complexity for me will be to do the datetime calculations to look at pre-treatment growth, and then post treatment growth and calculate volume doubling times.

I need to do this for about 250 patients so the time-consuming element is the volumetric assessment. On average there will be 3 to 4 pre-treatment scans and up to 10 post-treatment scans, so the data frame will be 250 records with about 15 pairs of date and volume paired columns, or similar. Any suggestions welcome. I was just going to do it in FileMaker pro but I don't have a site license et cetera et cetera.

...

ANSWER

Answered 2021-May-14 at 02:42

A simple CSV data format, like the one shown below, will allow you easily capture and process data. Once captured, you can read this data into pandas with pandas.read_csv

Source https://stackoverflow.com/questions/67523660

QUESTION

Eliminating csv file rows if specific string is not present

Asked 2021-May-09 at 23:46

I am trying to compile a database of medical school interview questions and scraped a lot of data onto a csv file. Column 0 contains the school name, and Column 1 contains the entry.

Some of the entries to the CSV are comments about medical schools rather than self-reported interview questions. Is there any way to eliminate entire rows in the csv file that do not meet the criteria of an interview question?

The four conditions on which I would like to eliminate entries are if the entry does not contain "?", "Explain", "Define", or "Tell me".

Sample question_data.csv

...

ANSWER

Answered 2021-May-09 at 23:46

You could use contains to return only the rows that contain the specified words.

Source https://stackoverflow.com/questions/67462923

QUESTION

How to print random CSV text entry that meets a specific criteria?

Asked 2021-May-09 at 15:29

I'm trying to develop a python program that generates a random interview question for a specific medical school selected by the user. I have a csv. file where column 0 has the university name, and column 1 has an interview question. I am not sure on how to develop a code that randomly outputs an interview question only from a specific medical school.

For example: If the user selects 'Baylor College of Medicine', I would like to randomly print one question (located in column 1) that has 'Baylor College of Medicine' in column 0.

Here is my attempted code at the moment:

...

ANSWER

Answered 2021-May-09 at 15:29

You don't need to use any .groupby() construct here, and I think that was where you were getting stuck.

Your function should accept arguments, and it can be very simple like this:

Source https://stackoverflow.com/questions/67459242

QUESTION

How can we keep the edit box by default empty, which displays the result of the spinner?

Asked 2021-May-07 at 18:07

 String[] categories = {"All", "Surgeon", "Pediatrician", "Cardiologist", "Dermatologist"};
        String[][] dca={
                {"Dr Chandiram","Dr Hamza","Dr Pervaiz","Dr Naeem","Dr Rajesh","Dr Sami"},
                {"Dr Chandiram","Dr Hamza",},
                {"Dr Pervaiz"},{"Dr Naeem","Dr Rajesh"},
                {"Dr Sami"}
                };
        ArrayAdapter aa = new ArrayAdapter(this,android.R.layout.simple_spinner_item,categories);
        aa.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item);
        drspin.setAdapter(aa);
        drspin.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {
            @Override
            public void onItemSelected(AdapterView parent, View view, int position, long id) {
                String a = drspin.getSelectedItem().toString();
                if(a.equals("All")){
                    ArrayAdapter myad = new ArrayAdapter(getApplicationContext(),R.layout.support_simple_spinner_dropdown_item,dca[0]);
                    drcat.setAdapter(myad);
                }else if(a.equals("Surgeon")){
                    ArrayAdapter myad = new ArrayAdapter(getApplicationContext(),R.layout.support_simple_spinner_dropdown_item,dca[1]);
                    drcat.setAdapter(myad);
                }else if(a.equals("Pediatrician")){
                    ArrayAdapter myad = new ArrayAdapter(getApplicationContext(),R.layout.support_simple_spinner_dropdown_item,dca[2]);
                    drcat.setAdapter(myad);
                }
                else if(a.equals("Cardiologist")){
                    ArrayAdapter myad = new ArrayAdapter(getApplicationContext(),R.layout.support_simple_spinner_dropdown_item,dca[3]);
                    drcat.setAdapter(myad);
                }
                else if(a.equals("Dermatologist")){
                    ArrayAdapter myad = new ArrayAdapter(getApplicationContext(),R.layout.support_simple_spinner_dropdown_item,dca[4]);
                    drcat.setAdapter(myad);
                }

//                sd.setText(a);
            }
            @Override
            public void onNothingSelected(AdapterView parent) {
            }
        });
        drcat.setOnItemSelectedListener(new AdapterView.OnItemSelectedListener() {
            @Override
            public void onItemSelected(AdapterView parent, View view, int position, long id) {
                    sd.setText(drcat.getSelectedItem().toString());
            }

            @Override
            public void onNothingSelected(AdapterView parent) {

            }
        });

...

ANSWER

Answered 2021-May-07 at 18:07

One of the solution in your case can be as follows:

Source https://stackoverflow.com/questions/67435435

QUESTION

How can I have both receptionist name and doctors name in the same Query output?

Asked 2021-May-05 at 04:56

Generate a list of all appointments in alphabetical order by patient name and by latest date and time for each patient. The list should also include the doctor scheduled and the receptionist who made the appointment.

This is my query so far:

...

ANSWER

Answered 2021-May-05 at 04:52

You need to join to the Employee_T table twice, once to fetch the doctor's name, and once to fetch the receptionist's name:

Source https://stackoverflow.com/questions/67395269

QUESTION

Remove multiple rows with same ID

Asked 2021-Apr-07 at 15:12

So I've done some looking around and wasn't unable to find quite what I was looking for. I have two tables.

1.) Table where general user information is stored

2.) Where a status is generated and stored.

The problem is, is that there are multiple rows for the same users and querying these results in multiple returns. I can't just merge them because they aren't all the same status. I need just the newest status from that table.

Example of the table:

...

ANSWER

Answered 2021-Apr-07 at 14:05

One way to handle this is to create a calculated row_number for the table where you need the newest record.

Easiest way to do that is to change your TKSTAT join to a derived table with the row_number calculation and then add a constraint to your join where the RN =1

Source https://stackoverflow.com/questions/66987707

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Surgeon

You can download it from GitHub.
You can use Surgeon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: