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lines changed Original file line number Diff line number Diff line change 1+ repos :
2+ # python code formatting
3+ - repo : https://github.com/psf/black
4+ rev : 23.12.1
5+ hooks :
6+ - id : black
7+ args : ["--config", "pyproject.toml"]
8+
9+ # python import sorting
10+ - repo : https://github.com/PyCQA/isort
11+ rev : 5.12.0
12+ hooks :
13+ - id : isort
14+ args : ["--settings-path", "pyproject.toml"]
15+
16+ # remove notebook cell output
17+ - repo : https://github.com/kynan/nbstripout
18+ rev : 0.7.1
19+ hooks :
20+ - id : nbstripout
21+ files : " .ipynb"
Original file line number Diff line number Diff line change 22 "cells" : [
33 {
44 "cell_type" : " markdown"
5- "id" : " 153aaca2 "
5+ "id" : " 0 "
66 "metadata" : {},
77 "source" : [
88 " # AZCausal Integration\n "
1717 {
1818 "cell_type" : " code"
1919 "execution_count" : null ,
20- "id" : " b134b49f "
20+ "id" : " 1 "
2121 "metadata" : {},
2222 "outputs" : [],
2323 "source" : [
4040 {
4141 "cell_type" : " code"
4242 "execution_count" : null ,
43- "id" : " 86ba26f3 "
43+ "id" : " 2 "
4444 "metadata" : {},
4545 "outputs" : [],
4646 "source" : [
5858 },
5959 {
6060 "cell_type" : " markdown"
61- "id" : " ae979b7b "
61+ "id" : " 3 "
6262 "metadata" : {
6363 "title" : " We'll now simulate a 5% lift in the treatment group's observations. This"
6464 },
6969 {
7070 "cell_type" : " code"
7171 "execution_count" : null ,
72- "id" : " 45f9e99f "
72+ "id" : " 4 "
7373 "metadata" : {},
7474 "outputs" : [],
7575 "source" : [
8181 },
8282 {
8383 "cell_type" : " markdown"
84- "id" : " 0ff7c192 "
84+ "id" : " 5 "
8585 "metadata" : {},
8686 "source" : [
8787 " ## Fitting a model\n "
9898 {
9999 "cell_type" : " code"
100100 "execution_count" : null ,
101- "id" : " db0f85d8 "
101+ "id" : " 6 "
102102 "metadata" : {},
103103 "outputs" : [],
104104 "source" : [
111111 },
112112 {
113113 "cell_type" : " markdown"
114- "id" : " 5c71b479 "
114+ "id" : " 7 "
115115 "metadata" : {
116116 "title" : " We see that SDID has done an excellent job of estimating the treatment"
117117 },
141141 {
142142 "cell_type" : " code"
143143 "execution_count" : null ,
144- "id" : " 59d6a88b "
144+ "id" : " 8 "
145145 "metadata" : {},
146146 "outputs" : [],
147147 "source" : [
168168 },
169169 {
170170 "cell_type" : " markdown"
171- "id" : " 5268b01a "
171+ "id" : " 9 "
172172 "metadata" : {
173173 "title" : " As before, we may now go about estimating the treatment. However, this"
174174 },
180180 {
181181 "cell_type" : " code"
182182 "execution_count" : null ,
183- "id" : " 71d101a2 "
183+ "id" : " 10 "
184184 "metadata" : {},
185185 "outputs" : [],
186186 "source" : [
Original file line number Diff line number Diff line change 22 "cells" : [
33 {
44 "cell_type" : " markdown"
5- "id" : " a9b6f601 "
5+ "id" : " 0 "
66 "metadata" : {},
77 "source" : [
88 " # Data Synthesis\n "
1717 {
1818 "cell_type" : " code"
1919 "execution_count" : null ,
20- "id" : " 8c2cf50c "
20+ "id" : " 1 "
2121 "metadata" : {},
2222 "outputs" : [],
2323 "source" : [
4545 },
4646 {
4747 "cell_type" : " markdown"
48- "id" : " cbb57d70 "
48+ "id" : " 2 "
4949 "metadata" : {},
5050 "source" : [
5151 " ## Simulating a Dataset"
5252 ]
5353 },
5454 {
5555 "cell_type" : " markdown"
56- "id" : " 1c5651e5 "
56+ "id" : " 3 "
5757 "metadata" : {
5858 "title" : " Simulating a dataset is as simple as specifying a `Config` object and"
5959 },
6565 {
6666 "cell_type" : " code"
6767 "execution_count" : null ,
68- "id" : " c82c01a7 "
68+ "id" : " 4 "
6969 "metadata" : {},
7070 "outputs" : [],
7171 "source" : [
8282 },
8383 {
8484 "cell_type" : " markdown"
85- "id" : " dba7ba2f "
85+ "id" : " 5 "
8686 "metadata" : {},
8787 "source" : [
8888 " ### Controlling baseline behaviour\n "
9696 {
9797 "cell_type" : " code"
9898 "execution_count" : null ,
99- "id" : " 812519eb "
99+ "id" : " 6 "
100100 "metadata" : {},
101101 "outputs" : [],
102102 "source" : [
118118 },
119119 {
120120 "cell_type" : " markdown"
121- "id" : " c0659585 "
121+ "id" : " 7 "
122122 "metadata" : {},
123123 "source" : [
124124 " ### Reproducibility\n "
132132 {
133133 "cell_type" : " code"
134134 "execution_count" : null ,
135- "id" : " f686bbca "
135+ "id" : " 8 "
136136 "metadata" : {},
137137 "outputs" : [],
138138 "source" : [
146146 },
147147 {
148148 "cell_type" : " markdown"
149- "id" : " 5738874c "
149+ "id" : " 9 "
150150 "metadata" : {},
151151 "source" : [
152152 " Reusing the same config file across simulations"
155155 {
156156 "cell_type" : " code"
157157 "execution_count" : null ,
158- "id" : " 8d1a815e "
158+ "id" : " 10 "
159159 "metadata" : {},
160160 "outputs" : [],
161161 "source" : [
167167 },
168168 {
169169 "cell_type" : " markdown"
170- "id" : " be5854b1 "
170+ "id" : " 11 "
171171 "metadata" : {},
172172 "source" : [
173173 " Or manually specifying and passing your own pseudorandom number generator key"
176176 {
177177 "cell_type" : " code"
178178 "execution_count" : null ,
179- "id" : " 0a654697 "
179+ "id" : " 12 "
180180 "metadata" : {},
181181 "outputs" : [],
182182 "source" : [
190190 },
191191 {
192192 "cell_type" : " markdown"
193- "id" : " c0822e35 "
193+ "id" : " 13 "
194194 "metadata" : {},
195195 "source" : [
196196 " ### Simulating an effect\n "
205205 {
206206 "cell_type" : " code"
207207 "execution_count" : null ,
208- "id" : " 582df29b "
208+ "id" : " 14 "
209209 "metadata" : {},
210210 "outputs" : [],
211211 "source" : [
218218 },
219219 {
220220 "cell_type" : " markdown"
221- "id" : " 4b521ffa "
221+ "id" : " 15 "
222222 "metadata" : {},
223223 "source" : [
224224 " ### More complex generation processes\n "
231231 {
232232 "cell_type" : " code"
233233 "execution_count" : null ,
234- "id" : " 842e65ee "
234+ "id" : " 16 "
235235 "metadata" : {},
236236 "outputs" : [],
237237 "source" : [
243243 {
244244 "cell_type" : " code"
245245 "execution_count" : null ,
246- "id" : " 320d2695 "
246+ "id" : " 17 "
247247 "metadata" : {},
248248 "outputs" : [],
249249 "source" : [
254254 },
255255 {
256256 "cell_type" : " markdown"
257- "id" : " 324ae45a "
257+ "id" : " 18 "
258258 "metadata" : {},
259259 "source" : [
260260 " We may also include periodic components in our data"
263263 {
264264 "cell_type" : " code"
265265 "execution_count" : null ,
266- "id" : " d802fefc "
266+ "id" : " 19 "
267267 "metadata" : {},
268268 "outputs" : [],
269269 "source" : [
274274 },
275275 {
276276 "cell_type" : " markdown"
277- "id" : " 5672c0ae "
277+ "id" : " 20 "
278278 "metadata" : {},
279279 "source" : [
280280 " ### Unit-level parameterisation"
283283 {
284284 "cell_type" : " code"
285285 "execution_count" : null ,
286- "id" : " 85343d57 "
286+ "id" : " 21 "
287287 "metadata" : {},
288288 "outputs" : [],
289289 "source" : [
297297 {
298298 "cell_type" : " code"
299299 "execution_count" : null ,
300- "id" : " af121f9f "
300+ "id" : " 22 "
301301 "metadata" : {},
302302 "outputs" : [],
303303 "source" : [
310310 },
311311 {
312312 "cell_type" : " markdown"
313- "id" : " dde5a4db "
313+ "id" : " 23 "
314314 "metadata" : {},
315315 "source" : [
316316 " ## Conclusions\n "
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